Dr. Arwa Almubarak
Teacher and PhD Student, Faculty of Computing and Information Technology, Department of Computer Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
Dr. Arwa Sulaiman Almubarak is a Computer and Information Technology teacher and a PhD researcher in Computer Science at King Abdulaziz University, Jeddah, and a member of the Center of Research Excellence in Artificial Intelligence and Data Science. She has been a certified trainer since earning her Training of Trainers (TOT) certification in 2019. Her research focuses on Artificial Intelligence (AI) and Computer Vision for educational applications, alongside interests in Data Analysis and Educational Technology.
With a strong academic background and extensive experience in education, Dr. Arwa is dedicated to developing innovative, AI-driven solutions that bridge the gap between theoretical research and real-world educational practices, contributing to more effective and data-driven learning environments.
Speaker Sessions
EdTech In Action 1526
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AI-Powered Teacher Evaluation: Using Deep Learning and Classroom Interaction Analysis to Scale Objective Performance Assessment
Session Summary:
Teacher evaluation remains one of the most subjective, resource-intensive, and inconsistent processes in education—yet it's critical to instructional quality and school improvement. This session introduces a groundbreaking AI-powered framework that leverages deep learning and computer vision to automate teacher performance evaluation based on classroom interaction analysis. Explore the technical architecture, implementation considerations, ethical implications, and practical applications of AI-driven teacher evaluation and contribute to building intelligent educational assessment ecosystems across diverse school contexts. Join this session to:
• Understand the technical framework and methodology of AI-powered teacher evaluation systems and quantify teaching behaviours across standardised interaction categories
• Evaluate the potential benefits and limitations of automated teacher evaluation systems in educational settings
• Assess practical implementation pathways and use cases for AI-driven teacher evaluation tools within school quality assurance frameworks for better stakeholder acceptance and trust-building
Speakers
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Dr. Arwa Almubarak | Teacher and PhD Student, Faculty of Computing and Information Technology, Department of Computer Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
Categories
- AI and EdTech
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